{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://mp.weixin.qq.com/s?__biz=MzkxODE3NjExOQ==&mid=2247485346&idx=1&sn=4c52bb647176ca36df5fa05928c28db2&chksm=c1b42fbaf6c3a6acb0c2e87355b829976dcba0a80978bc43a70bea15af4c3cdd8b9ec364abf1&scene=178&cur_album_id=3354758663365918722#rd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# 导入需要使用的库\n",
    "import akshare as ak\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "# 关闭警告信息\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "# 获取沪深300指数10年的收盘价数据\n",
    "start_date = '20140101'  # 开始日期\n",
    "end_date = '20231229'  # 结束日期\n",
    "bars = ak.stock_zh_index_hist_csindex(symbol='000300', start_date=start_date,end_date=end_date)\n",
    "prices = bars[['日期','收盘']]\n",
    "# 将日期设置为datetime格式\n",
    "prices['日期'] = pd.to_datetime(prices['日期'])\n",
    "prices = prices.set_index('日期')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdd = (prices / prices.expanding(min_periods=0).max()).min() - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dd_series = prices / np.maximum.accumulate(prices) - 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dd_series.plot(kind='bar')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "4broker",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
